# How to Create DigitalOcean Gradientâ„¢ AI Bare Metal GPUs DigitalOcean Gradientâ„¢ AI Bare Metal GPUs are dedicated, single-tenant servers with 8 GPUs of various models that can operate standalone or in multi-node clusters. Purchasing and provisioning bare metal GPUs involves [completing a contract](#complete-a-contract), [setting up billing](#set-up-billing) through Paperspace, and [connecting to your servers](#connect-to-your-server) once provisioning is complete. ## Complete a Contract Bare metal GPUs are not available for on-demand provisioning, so first, [contact our sales team](https://www.digitalocean.com/products/bare-metal-gpu?referrer=pdocs&utm_campaign=how-to-create-digitalocean-gradient-ai-bare-metal-gpus#sales-form) to finalize the price and provisioning. When you contact sales, you choose the [hardware](https://docs.digitalocean.com/products/bare-metal-gpus/details/features/index.html.md#hardware) and [software configuration](https://docs.digitalocean.com/products/bare-metal-gpus/details/features/index.html.md#software) you want. All software configurations come with the necessary NVIDIA GPU and CUDA drivers preinstalled. ## Set up Billing After you complete a contract with sales, you [create a Paperspace account](https://www.paperspace.com/) to manage billing. Payment for bare metal GPUs is managed through [Paperspace](https://www.paperspace.com/), a platform to manage GPU-based applications on DigitalOcean. ## Connect to Your Server Once we provision your bare metal GPUs, we email you the IP address of the servers, and you have full control of the configuration. You can connect to it [using SSH](https://www.digitalocean.com/community/tutorials/ssh-essentials-working-with-ssh-servers-clients-and-keys#basic-connection-instructions). Once you connect, you may want to: - Set up [UFW](https://www.digitalocean.com/community/tutorials/how-to-set-up-a-firewall-with-ufw-on-ubuntu) to protect your bare metal GPU on its public interface. By default, there are no firewalls or gateways in front of bare metal GPUs. - Install [Miniconda](https://docs.anaconda.com/miniconda/install/), a minimal installation of [Anaconda](https://www.anaconda.com/), an AI-focused operating system. Miniconda includes Python, the [conda](https://anaconda.org/anaconda/conda) package manager, and a limited number of additional packages and dependencies. - Install [Transformers](https://huggingface.co/docs/transformers/en/installation), an ML toolkit and collection of pre-trained models. - Install [PyTorch](https://pytorch.org/), a Python ML library that has support for tensor computing with GPU acceleration and deep neural networks. If you have any issues, contact our [support team](https://cloudsupport.digitalocean.com).